Seltz

Seltz brings real-time web search directly into the hands of your AI assistants, giving Claude, GPT, Gemini, or any other model the ability to look up current information, verify facts, and pull fresh context from across the internet without leaving the conversation. As a Research-category MCP server, Seltz is built for the exact moment when a model's training data isn't enough — a customer support agent needs to check today's pricing, a research assistant needs the latest news on a topic, or a sales tool needs to confirm a prospect's recent company announcement. Instead of bolting on a separate search API and managing your own integration, Seltz's Web Search capabilities are exposed as clean, agent-callable tools that any MCP-compatible AI can invoke on demand.

When you host Seltz through BusinessMCP, you're not just standing up a single search connector — you're folding web search into the same unified MCP server that already talks to your other tools, databases, and ad platforms. That means one Bearer-authenticated endpoint at /api/mcp, one dashboard for visibility, and one place to reason about usage across every capability your agents rely on. Rather than juggling separate API keys and rate limits for search, CRM, analytics, and ad spend tools, your team (and your AI agents) get a single, model-agnostic gateway. This is especially useful for teams building internal copilots or customer-facing assistants that need to blend live web search results with proprietary business data in the same reasoning chain.,

Because BusinessMCP is cookieless and GDPR-friendly by design, adding Seltz's web search MCP server to your stack doesn't introduce new privacy or compliance headaches — search queries flow through the same governed, auditable pipeline as everything else in your business-intelligence dashboard. This matters for regulated industries or any company that needs to demonstrate control over what data leaves its systems and what gets pulled in from the open web. Engineering teams get a documented, versioned integration point; compliance teams get a single system of record; and business stakeholders get visibility into how often and where web search is being used across their AI workflows.

Seltz's Web Search MCP server is a strong fit for research-heavy use cases: competitive intelligence gathering, fact-checking AI-generated content before it ships, powering retrieval-augmented generation (RAG) pipelines with fresh web context, or giving support and sales agents the ability to answer questions about current events, pricing changes, or breaking news. Pair it with other research or fetch tools already in your BusinessMCP stack to build agents that can search broadly, then drill into specific pages or documents for verification. Because it's exposed the same way as every other tool in your unified MCP server, switching between AI models — Claude for one workflow, GPT for another — requires no re-integration work on the search layer itself.

For teams evaluating web search MCP servers for AI assistants, Seltz stands out for its simplicity: a focused set of search tools, hosted and monitored alongside your broader business systems, rather than yet another standalone API to secure and maintain. If your agents need to reason about the present, not just the past baked into a model's training data, connecting Seltz once through BusinessMCP means every current and future AI assistant in your organization inherits that capability automatically.